Table 2.
Relationship between higher stress and dietary intake among black women in the rural Deep South.
| USDA recommended food groups | OR (95% CI)a | OR (95% CI)a,b |
|---|---|---|
| Fruit | 1.27 (0.81, 2.00) | 1.04 (0.64, 1.71) |
| Vegetables | 1.38 (0.75, 2.52) | 0.98 (0.51, 1.88) |
| Dairy | 1.71 (0.31, 9.47) | 1.55 (0.25, 9.43) |
| Grains | 0.69 (0.43, 1.10) | 0.67 (0.41, 1.09) |
| Meat and beans | 0.79 (0.51, 1.21) | 0.79 (0.50, 1.25) |
|
| ||
| Mean intake | B (se)c | B (se)b,c |
|
| ||
| Energy (kcal) | 3.23 (5.40) | −2.18 (5.80) |
| Protein (g) | 0.04 (0.28) | −0.17 (0.30) |
| Carbohydrate (g) | 0.62 (0.61) | 0.29 (0.38) |
| Fat (g) | 0.02 (0.29) | −0.11 (0.12) |
aLogistic regression modeling stress score as a predictor meeting the following dietary requirements: fruit = 1.5 cups/day, vegetables = 2.5 cups/day, dairy = 3 cups/day, and grains = 6 ounces/day, 5 ounces/day; a cup equivalent is equal to 1 cup of fruit or fruit juice, 1 cup of raw or cooked vegetables or vegetable juice, and 1 cup of milk; ounce equivalents: an ounce-equivalent of grains is equal to 1 slice of bread and an ounce-equivalent of meat and beans is equal to 1 ounce of cooked meat, poultry, or fish. 1 ounce = 28 g; bcontrolled for age in years, income (<$10,000, $10,000–$29,999, $30,000–$49,999, and $50,000+), BMI (kg/m2), and total energy (except when energy is outcome variable). cLinear regression modeling stress score as a predictor of mean intake of energy and macronutrients.